Sadowitz Peter M, Karlin William M, Lirtzman Ross A, Kowaleski Michael P
Department of Clinical Sciences, Cummings School of Veterinary Medicine at Tufts University, North Grafton, Massachusetts, United States.
Arizona Canine Orthopedics and Sports Medicine, Scottsdale, Arizona, United States.
Vet Comp Orthop Traumatol. 2023 May;36(3):163-168. doi: 10.1055/s-0043-1761247. Epub 2023 Feb 22.
The purpose of this study was to evaluate a fluoroscopic method of angle of lateral opening (ALO) categorization based on identification of the visible portion of a pre-existing, circular recess within the metal shell of the BioMedtrix BFX acetabular component, which projects as an ellipse at clinically relevant ALO values. Our hypothesis was that there will be an association between the actual ALO and the categorization of ALO based on identification of the visible portion of the elliptical recess on a lateral fluoroscopic image at clinically relevant values.
A custom plexiglass jig was fitted with a two-axis inclinometer and a 24 mm BFX acetabular component attached to its tabletop. Fluoroscopic reference images were obtained with the cup positioned at an ALO of 35, 45 and 55 degrees with a fixed 10 degrees of retroversion. Thirty study fluoroscopic images (10 images at each ALO) were obtained based on randomization at an ALO of 35, 45 and 55 degrees (±0.5 degrees) with 10 degrees of retroversion. The order of the study images was randomized, and a single, blinded observer categorized the 30 study images as representing an ALO of 35, 45 or 55 degrees by comparison to the reference images.
Analysis showed perfect (30/30) agreement with a weighted kappa coefficient of 1 (95% confidence interval: -0.717 to 1).
The results demonstrate that accurate categorization of ALO can be achieved using this fluoroscopic method. This method may prove to be a simple but effective method of estimating intraoperative ALO.
本研究的目的是评估一种基于识别BioMedtrix BFX髋臼组件金属壳内预先存在的圆形凹陷的可见部分的透视下外侧开口角度(ALO)分类方法,该凹陷在临床相关的ALO值下投影为椭圆形。我们的假设是,在临床相关值下,实际的ALO与基于侧位透视图像上椭圆形凹陷可见部分的识别对ALO进行的分类之间存在关联。
一个定制的有机玻璃夹具安装了一个双轴倾角仪,其桌面上附着一个24毫米的BFX髋臼组件。在髋臼杯处于35°、45°和55°的ALO且固定10°后倾的情况下获取透视参考图像。基于随机化,在35°、45°和55°(±0.5°)的ALO且10°后倾的情况下获得30张研究透视图像(每个ALO 10张图像)。研究图像的顺序是随机的,一名单盲观察者通过与参考图像比较,将30张研究图像分类为代表35°、45°或55°的ALO。
分析显示完全一致(30/30),加权kappa系数为1(95%置信区间:-0.717至1)。
结果表明,使用这种透视方法可以实现ALO的准确分类。这种方法可能被证明是一种简单但有效的估计术中ALO的方法。